This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title:
Measurement and Characterization for In-Memory Computing
The work will entail:
The work entails developing novel nanodevices and supporting measurement technology needed to deliver low-power, high reliability solutions for the Analog Memory Characterization Platform (CHIPS Metrology 6.05) and corresponding prototyping capabilities for in-memory computing applications. Particular emphasis is placed on memory devices exhibiting high-frequency phenomena such as magnetic tunnel junctions. The goal of the work is to lead to highly accurate and efficient statistical characterization routines with applications to artificial intelligence hardware accelerators. While aimed at eventual applications, the impact is expected to be long-term rather than short-term and all results will be published in the open scientific literature.
Key responsibilities will include but are not limited to:
- Statistical characterization of individual spintronic devices such as magnetic tunnel junctions under various environments and bias conditions to inform the development of first-principles device modeling
- Measurement of scaled systems consisting of novel devices integrated on custom CMOS chips to realize alternative computing architectures
- Development of microwave circuits for on-wafer high-frequency probing of spintronic devices
- Presentation of results at internal meetings, and occasional meetings with external stakeholders.
- Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
Qualifications
- A PhD degree in Electrical Engineering, Physics, or related field.
- Five or more publications or presentations on spintronics-related topics.
- Ability to conceptualize and realize radio-frequency experiments arrangements.
- Experience with static and dynamic magneto-resistive radio-frequency measurements, including FMR
- Coding skills in Python and LabVIEW, as well as analysis tools such as Mathematica
- Strong oral and written communication skills
The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.